An integrated multi-omics and artificial intelligence framework for advance plant phenotyping in horticulture

D Cembrowska-Lech, A Krzemińska, T Miller… - Biology, 2023 - mdpi.com
Simple Summary The future of plant biology, particularly rapidly advancing precision
horticulture and predictive breeding, will require the transformation of huge volumes of multi …

Climate Change—The Rise of Climate-Resilient Crops

P Kopeć - Plants, 2024 - mdpi.com
Climate change disrupts food production in many regions of the world. The accompanying
extreme weather events, such as droughts, floods, heat waves, and cold snaps, pose threats …

Advancements in Utilizing Image-Analysis Technology for Crop-Yield Estimation

F Yu, M Wang, J Xiao, Q Zhang, J Zhang, X Liu, Y Ping… - Remote Sensing, 2024 - mdpi.com
Yield calculation is an important link in modern precision agriculture that is an effective
means to improve breeding efficiency and to adjust planting and marketing plans. With the …

[HTML][HTML] The Application of Deep Learning in the Whole Potato Production Chain: A Comprehensive Review

RF Wang, WH Su - Agriculture, 2024 - mdpi.com
The potato is a key crop in addressing global hunger, and deep learning is at the core of
smart agriculture. Applying deep learning (eg, YOLO series, ResNet, CNN, LSTM, etc.) in …

Deep learning-based elaiosome detection in milk thistle seed for efficient high-throughput phenotyping

Y Kim, AM Abebe, J Kim, S Hong, K An… - Frontiers in Plant …, 2024 - frontiersin.org
Milk thistle, Silybum marianum (L.), is a well-known medicinal plant used for the treatment of
liver diseases due to its high content of silymarin. The seeds contain elaiosome, a fleshy …

ShinyFruit: interactive fruit phenotyping software and its application in blackberry

TM Chizk, JA Lee, JR Clark… - Frontiers in Plant …, 2023 - frontiersin.org
Introduction Horticultural plant breeding programs often demand large volumes of
phenotypic data to capture visual variation in quality of harvested products. Increasing the …

Unraveling the genetic and molecular basis of heat stress in cotton

A Ijaz, Z Anwar, A Ali, A Ditta, MY Shani, S Haidar… - Frontiers in …, 2024 - frontiersin.org
Human activities and climate change have resulted in frequent and intense weather
fluctuations, leading to diverse abiotic stresses on crops which hampers greatly their …

[HTML][HTML] Genomics, Phenomics, and Machine Learning in Transforming Plant Research: Advancements and Challenges

S Mansoor, EMBM Karunathilake, TT Tuan… - Horticultural Plant …, 2024 - Elsevier
Advances in gene editing and natural genetic variability present significant opportunities to
generate novel alleles and select natural sources of genetic variation for horticulture crop …

Assessing Contents of Sugars, Vitamins, and Nutrients in Baby Leaf Lettuce from Hyperspectral Data with Machine Learning Models

S Eshkabilov, I Simko - Agriculture, 2024 - mdpi.com
Lettuce (Lactuca sativa) is a leafy vegetable that provides a valuable source of
phytonutrients for a healthy human diet. The assessment of plant growth and composition is …

Author Spotlight: Unraveling Plant Responses to Abiotic Stresses Using the PlantScreen Robotic Platform

LOA Abdelhakim, B Pleskačová… - JoVE (Journal of …, 2024 - jove.com
High throughput image-based phenotyping is a powerful tool to non-invasively determine
the development and performance of plants under specific conditions over time. By using …